Clustering field-based maize phenotyping of plant-height growth and canopy spectral dynamics using a UAV remote-sensing approach

Frontiers in Plant Science

Volumn 871, Issue , 2018, Pages

  Han, Liang ^a,b   Yang, Guijun ^c   Yang, Hao ^c   Xu, Bo ^c,d   Li, Zhenhai ^c,e   Yang, Xiaodong ^c  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b SHANXI DATONG UNIVERSITY   (China)

^c Ministry of Agriculture Key Laboratory of Resource Remote Sensing and Digital Agriculture   (China)

^d NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

^e Beijing Engineering Research Center of Agricultural Internet of Things   (China)

Author keywords

Breeding; Development; High throughput phenotyping platform; Maize; Time series clustering; Typical curve; Unmanned aerial vehicles

Indexed keywords

ANTENNAS; CLUSTERING ALGORITHMS; INTERPOLATION; REMOTE SENSING; THROUGHPUT; TIME SERIES; TIME SERIES ANALYSIS; UNMANNED AERIAL VEHICLES (UAV);

BREEDING; DEVELOPMENT; HIGH-THROUGHPUT PHENOTYPING; MAIZE; TIME SERIES CLUSTERING; TYPICAL CURVES;

GROWTH RATE;

EID: 85058819843     PISSN: None     EISSN: 1664462X     Source Type: Journal    
DOI: 10.3389/fpls.2018.01638     Document Type: Article

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